This site uses cookies. By continuing to use this site you agree to our use of cookies. To find out more, see our Privacy and Cookies policy.
Brought to you by:

Letters

HEATING OF THE MAGNETIC CHROMOSPHERE: OBSERVATIONAL CONSTRAINTS FROM Ca ii λ8542 SPECTRA

, , , and

Published 2013 January 28 © 2013. The American Astronomical Society. All rights reserved.
, , Citation J. de la Cruz Rodríguez et al 2013 ApJL 764 L11 DOI 10.1088/2041-8205/764/1/L11

2041-8205/764/1/L11

ABSTRACT

The heating of the Sun's chromosphere remains poorly understood. While progress has been made on understanding what drives the quiet-Sun internetwork chromosphere, chromospheric heating in strong magnetic field regions continues to present a difficult challenge, mostly because of a lack of observational constraints. We use high-resolution spectropolarimetric data from the Swedish 1 m Solar Telescope to identify the location and spatio-temporal properties of heating in the magnetic chromosphere. In particular, we report the existence of raised-core spectral line profiles in the Ca ii λ8542 line. These profiles are characterized by the absence of an absorption line core, showing a quasi-flat profile between λ ≈ ±0.5 Å, and are abundant close to magnetic bright points and plage. Comparison with three-dimensional MHD simulations indicates that such profiles occur when the line of sight goes through an "elevated temperature canopy" associated with the expansion with height of the magnetic field of flux concentrations. This temperature canopy in the simulations is caused by ohmic dissipation where there are strong magnetic field gradients. The raised-core profiles are thus indicators of locations of increased chromospheric heating. We characterize the location and temporal and spatial properties of such profiles in our observations, thus providing much stricter constraints on theoretical models of chromospheric heating mechanisms than before.

Export citation and abstract BibTeX RIS

1. INTRODUCTION

The heating of the Sun's chromosphere requires more than an order of magnitude more mechanical energy flux than the corona and heliosphere combined (Anderson & Athay 1989; Withbroe & Noyes 1977). Nevertheless, the heating mechanism powering the chromosphere remains elusive, especially in the magnetic chromosphere in and around network and plage regions (e.g., Judge et al. 2010). This is in part because most studies have focused on quiet-Sun internetwork regions (e.g., Carlsson & Stein 1997; Straus et al. 2008). In addition, most theoretical studies have avoided detailed comparisons with chromospheric diagnostics, which are most often formed under non-LTE and non-equilibrium conditions and thus difficult to model, instead focusing on simply comparing the energy flux associated with specific physical heating mechanisms (e.g., Goodman & Kazeminezhad 2010) to the canonical values derived from semi-empirical one-dimensional (1D) hydrostatic models of the chromosphere (Vernazza et al. 1981; Fontenla et al. 1993). Such a limited comparison does not properly capture the chromospheric conditions, which are significantly different from the 1D VAL and FAL models (in terms of dynamics and structuring, see, e.g., Carlsson & Stein 1997).

Here we report on new observational constraints on chromospheric heating derived from the Ca ii λ8542 spectral line. During the past decade, the Ca ii infrared (IR) triplet lines (λ8498, λ8542, λ8662) have become popular chromospheric diagnostics in solar studies. In particular, the Ca ii λ8542 line has been used in a variety of different chromospheric studies, for example, to determine the disk counterpart of spicules (Rouppe van der Voort et al. 2009), analyze the energy flux carried by acoustic waves into the lower atmosphere (Vecchio et al. 2009), study torsional motions in the atmosphere (De Pontieu et al. 2012; Wedemeyer-Böhm et al. 2012), or to carry out spectropolarimetric studies in sunspots (Socas-Navarro et al. 2000; López Ariste et al. 2001; Kleint 2012).

Cauzzi et al. (2009) suggested a connection between chromospheric heating and the width of the H i λ6563 (Hα) line, which is found to be strongly sensitive to changes in temperature. Furthermore, their maps of the line core intensity of Ca ii λ8542 show strong similarities with their Hα line-width maps. Further support for a relationship between core brightness of Ca lines and elevated temperatures is provided by Henriques (2012), who used the intensity of Ca ii λ3968 as a measurement of the upper-photospheric temperature.

Although the velocity field and temperature stratification in the solar atmosphere produce an imprint in the spatially resolved profiles from the Ca ii IR lines, they usually remain absorption lines with a conspicuous line core. Interestingly, Pietarila et al. (2007b) report some examples of reversals in the non-LTE core of the Ca ii λ8542 line, which are later associated with elevated chromospheric temperatures in Pietarila et al. (2007a). However, the mechanism producing this increase in temperature or the spatio-temporal properties are not investigated. These raised-core (RC hereafter) profiles are found in pixels with intermediate magnetic flux in their observations.

In this Letter, we use full-Stokes Ca ii λ8542 data to show the ubiquity of such RC profiles in the vicinity of strong magnetic fields. We report on the peculiar spatial distribution of the RC profiles, and analyze their spatial and temporal properties to provide constraints on chromospheric heating models. Finally, we propose a scenario that explains the profile shapes, using synthetic spectral line profiles from a three-dimensional (3D) radiative MHD simulation.

2. OBSERVATIONS

The observations are of a bipolar active region (AR10998) at approximately 205'' heliocentric distance. The data sets were acquired at the Swedish 1 m Solar Telescope (SST) using the CRisp Imaging SpectroPolarimeter (CRISP; Scharmer et al. 2008) on 2008 June 14 at 08:36:54.

Our data consist of a 41-minute time series including 225 full-Stokes line scans (time steps) of the Ca ii λ8542 line, with a temporal cadence of 11 s. The line was sampled at 29 line positions across the range ±1.94 Å from the line center, with a spectral sampling of 97 mÅ in the core up to ±0.78 Å, and 194 mÅ in the outer wings.

The data are processed using the image restoration technique Multi-Object Multi-Frame Blind Deconvolution (van Noort et al. 2005), which allows us to achieve a spatial resolution of λ/D = 0farcs18. Instrumental polarization is compensated using the two-dimensional (2D) calibration described in Schnerr et al. (2011) and the SST model at 854 nm from de la Cruz Rodríguez (2010).

We have made extensive use of CRISPEX (Vissers & Rouppe van der Voort 2012) a tool for the exploration of CRISP data sets.

2.1. The Raised-core Profiles

The observed field of view (FOV) contains two patches of network with opposite polarities. In the photosphere, observed in the wings of the λ8542 line, the images show granulation with two concentrations of bright points. In the chromosphere, visible in the core of the line, the images show a landscape of dark elongated fibrils that extend outward from the network patches.

A section of our FOV is enlarged for clarity in Figure 1. This patch of mostly unipolar plage shows strong magnetic field concentrations (Stokes V, top middle panel) that are tightly correlated with the locations of bright points (Stokes I, top left panel). The line core image (top right panel), which is sensitive to chromospheric plasma, shows fibrils extending from the plage region. The plage region is generally very bright compared with the fibrils.

Figure 1.

Figure 1. Ca ii λ8542 filtergrams (top row): Stokes I at −1055 mÅ from line center (left), Stokes V at the same wavelength (middle), and the line core intensity (right). The color markers indicate the location of hand-picked quiet-Sun profiles (green), RC profiles (orange), and bright point profiles (blue). The circular markers indicate the location of the intensity profiles shown in each of the panels below (same color coding).

Standard image High-resolution image

We distinguish three different "typical" line profiles and give examples from three different locations for each profile type: quiet (locations and spectra marked with green symbols), bright point (blue symbols), and RC profiles (orange symbols). The quiet profiles show a "classical" Ca ii λ8542 profile with bright photospheric wings and a chromospheric absorption core (green profiles in bottom row of Figure 1). The shape of the bright point profiles (blue in bottom row) is very similar to that of the quiet-Sun profiles but with enhanced intensity for all wavelengths.

The RC profiles look markedly different. The photospheric wings of RC profiles are virtually identical in brightness and shape to those of quiet profiles. However, the chromospheric core of RC profiles is very different: it is almost flat, and much brighter than the core of the quiet profiles. The chromospheric core of RC profiles actually has an intensity that is similar to that of the core of the bright point profiles.

In a large fraction of the RC profiles, we have also noticed two weak emission lobes at approximately λ = ±194 mÅ from line center. These lobes are further discussed in Sections 2.3 and 3.

2.2. Spatial Distribution and Ubiquity

One clue to the cause of the RC profiles comes from investigating their spatial distribution and ubiquity in the plage region. Clearly not all locations show RC profiles. To determine, in an automated fashion, the location of RC profiles we tried several approaches. We found that the ratio between core and wing intensities reveals many locations of RC profiles, but visual inspection shows that it also flags many "false positive" locations (usually narrow absorbing cores that are strongly Doppler-shifted). A better method exploits the fact that around the core of these profiles the intensity is relatively flat with wavelength, so that the derivative of intensity with wavelength dI/dλ hovers around 0, with frequent changes of the sign of the derivative. We thus developed an algorithm that calculates the number of zero-crossings of dI/dλ around the core of the line. Both bright point and quiet profiles have values of 1, whereas RC profiles almost always have larger values.

By overplotting contours of the number of zero-crossings of dI/dλ (red and blue contours in Figure 2), we find that the RC profiles are located in the proximity of photospheric bright points and in extended patches of photospheric granulation, which are embedded in patches of plage. In fact, they are quite rare outside this configuration. This is quite clear from the enlarged regions shown in the right column of Figure 2. The RC profiles are preferentially located inside the ring of bright points, with only a few exceptions found outside. Our analysis also shows that these RC profiles are ubiquitous and occur wherever there is plage (or network), with their frequency increasing in more complex regions. The spatial extent of seemingly coherent or contiguous regions with RC profiles is of order a fraction of an arcsecond up to an arcsecond.

Figure 2.

Figure 2. Spatial distribution of RC profiles measured as number of zero-crossings of dI/dλ over the core region (±582 mÅ). The left panel shows a Stokes V map integrated over all 29 line positions with contours delineating areas with three (red) and four (blue) zero-crossings. The rightmost panels show a zoom-in on the region outlined in the left panel, with a wide-band image as background at the top.(An animation of this figure is available in the online journal.)

Standard image High-resolution image

2.3. Temporal Properties

The temporal behavior of the RC profiles is very different from that of a more typical profile, as can be seen by comparing the three top right panels with the second panel from the left in the top row of Figure 3. The latter shows the temporal evolution of the Ca ii λ8542 line profile in a location that does not show strong RC behavior. It is dominated by a succession of magnetoacoustic shocks, visible as strongly absorbing features and similar to those described by Langangen et al. (2008) and Vecchio et al. (2009). Two brief moments of RC profiles occur in between shocks. The three RC locations (rightmost panels, top row) on the other hand show RC emission for much of the time series, with only occasional shock-induced absorption. The RC profiles are not constant in time but show significant variability. We find that the imprint from the red emission lobe at ±194 mÅ is often noticeable throughout the time series, which is not always the case for the blue lobe.

Figure 3.

Figure 3. Temporal evolution and lifetime of the RC profiles. The top row illustrates the temporal evolution of some λ8542 profiles at locations indicated with color markers in the top left panel and repeated in each λ − t plot (right panels). The second panel from left corresponds to a traditional absorption profile showing a shock-induced temporal pattern. The last three panels correspond to the time evolution of three RC profiles. The time of the image in the top left panel is indicated in the time slices with a yellow marker. The bottom row provides information about the typical timescales that dominate the temporal evolution of the RC profiles: map of the autocovariance timescale (8 × rebinned, left) and a histogram of autocovariance timescales for locations with RC profiles (right), using the original data (dashed-red), 8 × 8 (solid-black), and 16 × 16 rebinning (dotted-blue). The vertical black-dotted line indicates the median autocovariance timescale: 81 s.

Standard image High-resolution image

The animation of Figure 2 available in the online journal shows evidence of contiguous and/or coherent spatial regions that contain RC profiles with typical spatial and temporal scales of the order of 0farcs5 and 1–2 minutes. These regions change shape and move about within the plage region. To determine the typical timescales over which RC profiles change, we computed, for each RC location, the autocovariance function of a time series that is equal to 1 when the number of zero-crossings is larger than 1, and otherwise 0. The autocovariance timescale for that location is then the FWHM of this function.

To make sure our timescale reflects the intrinsic lifetime and is not dominated by either seeing-induced or proper motion of the coherent RC region within the FOV, we calculated the autocovariance timescale for data that was rebinned with a range of different parameters (from 2 × 2 to 16 × 16 pixels). The timescales increase as the rebinning parameters are increased from 1 × 1 to 16 × 16 (Figure 3, lower-right panel). This is because the timescales of the data at the original resolution are dominated by seeing deformations, jitter, and proper motions leading to short lifetimes. Once we rebin the data 8 × 8 (solid-black) we no longer see a difference in timescale compared to 16 × 16 (dotted-blue) rebinned data, with both showing median values of about 80 s. This means that the intrinsic dominant lifetime of these coherent RC regions is about 1.5 minutes. It also implies that the typical spatial scales are less than 8 pixels, i.e., 8 × 0.07 ∼ 0farcs5.

3. 3D MHD SIMULATION

We use a snapshot from a 3D MHD simulation calculated with the Bifrost code (Gudiksen et al. 2011). The simulation has an extent of 24 × 24 × 16.8 Mm, encompassing the upper convection zone, photosphere, chromosphere, and corona. In the vertical direction, the simulation extends from 2.4 Mm below to 14.4 Mm above average optical depth unity at λ = 500 nm. The grid spacing is 48 km horizontally and non-equidistant vertically with a spacing of 19 km between z = −1 and 5 Mm and increasing toward the upper and lower boundaries. The simulation includes optically thick radiative transfer including scattering in the photosphere and low chromosphere, parameterized non-LTE radiative losses in the upper chromosphere, transition region and corona, thermal conduction along magnetic field lines, and an Equation of State (EOS) that includes the effects of non-equilibrium ionization of hydrogen; see Gudiksen et al. (2011) and Carlsson & Leenaarts (2012) for details. The magnetic field in the simulation consists of two patches of different polarity separated by 8 Mm (Figure 4, top middle panel). The field is rather weak compared with the plage-like regions of the observations; the average unsigned flux in the photosphere is 50 G. The same snapshot was used in Leenaarts et al. (2012).

Figure 4.

Figure 4. Synthetic λ8542 observations and physical quantities from our 3D MHD simulation. In the top row, monochromatic intensity in the wing (left), the vertical component of the magnetic field at z = 0 km (middle), and the monochromatic intensity at line center (right). The lower-left panel shows the intensity profiles at locations indicated with colored markers in the top row: quiet Sun (green), bright point (blue), and raised-core profile (orange). The lower-middle panel shows the temperature stratification (dashed) and source function (solid) at each location. The markers overplotted on the source function indicate the height at which τν = 1 in the continuum (plus) and at line center (star). The lower-right panel shows a 2D cut (along the orange line shown in the top middle panel) of the temperature as a function of height in the simulation. The zero point in x is at the location of the orange circle in the top middle panel, the site of an RC profile. Markers show the location of τν = 1 in the continuum (plus) and at line center (star).

Standard image High-resolution image

The synthetic λ8542 profiles are computed using the code Multi (Carlsson 1986), assuming each vertical column in the 3D snapshot to be an independent 1D plane-parallel atmosphere. The profiles have been convolved with the CRISP spectral point-spread function (PSF; FWHM of 111 mÅ).

Our synthetic profiles show evidence of quiet, bright point, and RC profiles (Figure 4) that are very similar to the observations. By comparing the physical variables and radiative transfer properties for various locations and profiles, we can investigate the physical cause for the shape of the latter.

At each wavelength, the intensity is approximately equal to the source function at monochromatic optical depth unity (the Eddington–Barbier relation). The lower-middle panel of Figure 4 shows the source function at the three chosen locations with optical depth unity marked for the continuum and for the line center. The intensity in the wings of the bright point profile is high because the strong magnetic flux regions are evacuated compared to their surroundings to stay in horizontal total pressure balance. As a result, we find lower densities and therefore a deeper formation (Steiner et al. 2001; Schüssler et al. 2003; Shelyag et al. 2004; Carlsson et al. 2004) where the temperature is higher (plus signs in the lower-middle panel). Both the bright point and quiet-Sun locations have monotonically decreasing source functions with height, giving pure absorption lines, because the source function decouples from the Planck function lower in the atmosphere than the temperature increase. At the RC location we go from a quiet-Sun temperature to an increased temperature typical of a magnetic region when we cross the expanding magnetic field at about 0.5 Mm height (see also lower-right panel). The density is still high enough to ensure a coupling between the Planck function and the source function and we get a local maximum of the latter, leading to two weak emission peaks in the RC profile at roughly ±200 mÅ. Therefore, non-LTE effects and chromospheric heating can explain the presence of those emission peaks. The line core is formed above the local source function maximum and there is therefore a central reversal. The optical depth unity at line center is at equal heights for the bright point location and the RC location (because both locations are basically magnetic above the canopy height) and the source functions are also almost the same, giving similar line core intensity at the two locations.

What makes RC profiles special is that they reveal the locations of a sharp temperature gradient with height between a relatively quiet photosphere and high temperature chromosphere. In the simulations this occurs in the immediate vicinity of bright points where we see the hot canopy of magnetic field that expands with height from its roots in the bright points (lower-right panel, Figure 4).

Our simulations also help explain why our detection method of zero-crossings works well in identifying RC profiles, given that the two emission lobes are naturally produced by a hot canopy overlying the quiet photosphere.

4. DISCUSSION AND CONCLUSIONS

In this Letter we characterize the observational properties of profiles of the Ca ii λ8542 line in which the core emission is raised compared to typical, quiet, profiles. These RC profiles have photospheric wings similar to those of quiet profiles, but line core intensities that are as strong as in the profiles from photospheric bright points. The RC profiles are ubiquitous throughout plage and network regions and predominantly located in the surroundings of bright points, usually on the inside of the plage region. We find that regions of RC profiles show coherent spatial and temporal behavior on scales of 0farcs5 and 1.5 minutes, respectively.

We use RC profiles in synthetic observations computed from a 3D radiative MHD simulation to determine what causes the peculiar line profile. The simulation shows that RC profiles occur for locations with a steep increase in the temperature stratification of about 1500 K, between z ≈ 0.5 Mm and z ≈ 1.0 Mm. The reduced line opacity (due to the vacuum effect of magnetic pressure) has a contributive effect to the line core brightening.

In the simulations the strong temperature gradient occurs because the line of sight jumps from a quiet photosphere dominated by granulation to the hot chromospheric canopy associated with flux concentrations. These concentrations expand with height from their photospheric bright point roots to a volume filling field higher up. Chromospheric heating is caused by strong field gradients and currents (and associated dissipation) in the vicinity of flux concentrations. This scenario is fully compatible with our observations that show RC profiles in the immediate vicinity (but not on top) of bright points, and can explain the enhanced line core intensity over the entire plage region.

Our observations provide strict constraints on the location and spatio-temporal properties of chromospheric heating in magnetic regions. The observations fit well with the chromospheric heating present in our simulations, which is dominated by current dissipation. While the spatial scale of the dissipation is mostly set by numerical resistivity in the simulation, recent work suggests that ion–neutral interactions lead to a Pedersen resistivity that has the same order of magnitude as the numerical resistivity, thus rendering these simulations surprisingly close to solar conditions (Martínez-Sykora et al. 2012). Our observations of apparently strong heating at the interface of interacting flux tubes are also compatible with the current-driven heating in the Bifrost models. Future work will have to clarify which of the several other physical mechanisms proposed to drive heating in the magnetic chromosphere is compatible with the observed properties, whether it is high-frequency wave heating (Hasan & van Ballegooijen 2008; Vigeesh et al. 2009), reconnection related to weak granular fields (Lites et al. 2008; Isobe et al. 2008), or a turbulent cascade of Alfvén waves (van Ballegooijen et al. 2011).

Finally, we note that the rather flat line core of the RC profiles means that the weak-field approximation (where the field strength is inversely proportional to dI/dλ) breaks down, leading to strong noise in the derived magnetic field values.

The Swedish 1 m Solar Telescope is operated by the Institute for Solar Physics of the Royal Swedish Academy of Sciences in the Spanish Observatorio del Roque de los Muchachos of the Instituto de Astrofísica de Canarias. The research has received funding from the Research Council of Norway and from the European Research Council under the European Union's Seventh Framework Programme (FP7/2007–2013)/ERC Grant agreement No. 291058. B.D.P. was supported through NASA grants NNX08BA99G, NNX08AH45G, and NNX11AN98G. The authors gratefully acknowledge support from the International Space Science Institute.

Please wait… references are loading.
10.1088/2041-8205/764/1/L11